84 citations · 121 across the 5 of their papers we have counts for
5 papers
Inference of COVID-19 epidemiological distributions from Brazilian hospital data
Iwona Hawryluk, Thomas A. Mellan, Henrique H. Hoeltgebaum +8
Knowing COVID-19 epidemiological distributions, such as the time from patient admission to death, is directly relevant to effective primary and secondary care planning, and moreove…
A unified machine learning approach to time series forecasting applied to demand at emergency departments
Michaela A. C. Vollmer, Ben Glampson, Thomas A. Mellan +7
There were 25.6 million attendances at Emergency Departments (EDs) in England in 2019 corresponding to an increase of 12 million attendances over the past ten years. The steadily r…
On the derivation of the renewal equation from an age-dependent branching process: an epidemic modelling perspective
Swapnil Mishra, Tresnia Berah, Thomas A. Mellan +6
Renewal processes are a popular approach used in modelling infectious disease outbreaks. In a renewal process, previous infections give rise to future infections. However, while th…
A joint bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA
Chiara Forlani, Samir Bhatt, Michela Cameletti +2
In air pollution studies, dispersion models provide estimates of concentration at grid level covering the entire spatial domain, and are then calibrated against measurements from m…
Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update
Seth Flaxman, Swapnil Mishra, Axel Gandy +20
Following the emergence of a novel coronavirus (SARS-CoV-2) and its spread outside of China, Europe has experienced large epidemics. In response, many European countries have imple…